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https://github.com/wiltodelta/remove-ai-watermarks.git
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Victor Kuznetsov
d5dd24140c
- watermark_remover: _build_qwen_kwargs now passes explicit height/width (via _qwen_target_size, floored to /16). Without it QwenImageImg2ImgPipeline defaults to 1024x1024 and silently squishes non-square inputs, distorting the scene and garbling text. - watermark_profiles: resolve_strength gains a `pipeline` arg + a Qwen strength ladder (_QWEN_VENDOR_STRENGTH, Gemini 0.25), so `--pipeline qwen` gets its certified floor automatically; retires the manual "pass --strength 0.25 for Gemini on qwen" workaround. - fidelity_metrics: replace per-face nearest matching (collided on multi-face images when a variant dropped a face, corrupting the identity metric) with a collision-free one-to-one assignment (assign_faces_one_to_one). lapvar/LPIPS were always bbox-anchored and immune. Regression-guarded by tests/test_fidelity_matching.py. - docs: record the measured outcomes of the qwen-improvement arc. The Qwen ControlNet face-fix is CLOSED (no permissive Qwen detail/tile ControlNet exists; canny carries edges, not skin grain). The `--pipeline auto` router + faces+text mixed dual-pass were prototyped and DROPPED (controlnet wins faces AND display text: abba CER 0.114 vs qwen 0.379). Z-Image-Turbo was tried and dropped (same regeneration limits). qwen stays a manual opt-in; controlnet is the default for everything. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>